Comparing Original Dataset and Oversampled Dataset

Dataset statistics

	Original Dataset	Oversampled Dataset
Number of variables	9	9
Number of observations	188	862
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	176
Duplicate rows (%)	0.0%	20.4%
Total size in memory	13.3 KiB	67.3 KiB
Average record size in memory	72.7 B	80.0 B

Variable types

	Original Dataset	Oversampled Dataset
Categorical	4	4
Numeric	5	5

Alerts

Original Dataset	Oversampled Dataset
`time` is highly overall correlated with `distance`	Alert not present in	High Correlation
`line_width` is highly overall correlated with `roughness`	Alert not present in	High Correlation
`roughness` is highly overall correlated with `line_width`	Alert not present in	High Correlation
`distance` is highly overall correlated with `time`	Alert not present in	High Correlation
`ink_visco_cp` is highly overall correlated with `surface_tension_dyne_cm` and 1 other fields	Alert not present in	High Correlation
`surface_tension_dyne_cm` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`ink _density` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`overspray` has 8 (4.3%) zeros	`overspray` has 20 (2.3%) zeros	Zeros
Alert not present in	Dataset has 176 (20.4%) duplicate rows	Duplicates
Alert not present in	`distance` has a high cardinality: 94 distinct values	High Cardinality
Alert not present in	`ink_visco_cp` has a high cardinality: 180 distinct values	High Cardinality
Alert not present in	`surface_tension_dyne_cm` has a high cardinality: 180 distinct values	High Cardinality
Alert not present in	`distance` is highly imbalanced (59.9%)	Imbalance
Alert not present in	`ink_visco_cp` is highly imbalanced (61.0%)	Imbalance
Alert not present in	`surface_tension_dyne_cm` is highly imbalanced (61.0%)	Imbalance
Alert not present in	`ink _density` is highly imbalanced (60.6%)	Imbalance

Reproduction

	Original Dataset	Oversampled Dataset
Analysis started	2023-04-15 11:10:16.874619	2023-04-15 11:10:20.934799
Analysis finished	2023-04-15 11:10:20.910620	2023-04-15 11:10:24.610375
Duration	4.04 seconds	3.68 seconds
Software version	ydata-profiling vv4.1.2	ydata-profiling vv4.1.2
Download configuration	config.json	config.json

distance
Categorical

	Original Dataset	Oversampled Dataset
Distinct	3	94
Distinct (%)	1.6%	10.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

900	139
300	47
270	2

900	519
300	169
270	8
907	6
892	5
Other values (89)	155

Length

	Original Dataset	Oversampled Dataset
Max length	3	3
Median length	3	3
Mean length	3	3
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	2586
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	52 ?
Unique (%)	0.0%	6.0%

Sample

	Original Dataset	Oversampled Dataset
1st row	270	900
2nd row	270	887
3rd row	300	867
4th row	300	900
5th row	300	887

Common Values

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	519	60.2%
300	169	19.6%
270	8	0.9%
907	6	0.7%
892	5	0.6%
887	5	0.6%
908	4	0.5%
893	4	0.5%
901	4	0.5%
891	4	0.5%
Other values (84)	134	15.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	519	60.2%
300	169	19.6%
270	8	0.9%
907	6	0.7%
892	5	0.6%
887	5	0.6%
898	4	0.5%
880	4	0.5%
891	4	0.5%
901	4	0.5%
Other values (84)	134	15.5%

Most occurring characters

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1428	55.2%
9	634	24.5%
3	198	7.7%
8	112	4.3%
2	67	2.6%
7	51	2.0%
1	39	1.5%
6	25	1.0%
4	17	0.7%
5	15	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	100.0%

Value	Count	Frequency (%)
Decimal Number	2586	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1428	55.2%
9	634	24.5%
3	198	7.7%
8	112	4.3%
2	67	2.6%
7	51	2.0%
1	39	1.5%
6	25	1.0%
4	17	0.7%
5	15	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	2586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1428	55.2%
9	634	24.5%
3	198	7.7%
8	112	4.3%
2	67	2.6%
7	51	2.0%
1	39	1.5%
6	25	1.0%
4	17	0.7%
5	15	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1428	55.2%
9	634	24.5%
3	198	7.7%
8	112	4.3%
2	67	2.6%
7	51	2.0%
1	39	1.5%
6	25	1.0%
4	17	0.7%
5	15	0.6%

time
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	63	429
Distinct (%)	33.5%	49.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	71.138298	70.227617

	Original Dataset	Oversampled Dataset
Minimum	31	30.523679
Maximum	130	130
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	31	30.523679
5-th percentile	34	34
Q1	45	45.063302
median	69	69
Q3	89.25	88.451404
95-th percentile	111.25	108
Maximum	130	130
Range	99	99.476321
Interquartile range (IQR)	44.25	43.388102

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	24.68826	23.990177
Coefficient of variation (CV)	0.34704598	0.34160603
Kurtosis	-0.82393317	-0.86230621
Mean	71.138298	70.227617
Median Absolute Deviation (MAD)	21.5	19.584849
Skewness	0.16926931	0.075444651
Sum	13374	60536.206
Variance	609.51018	575.5286
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78	9	4.8%
44	9	4.8%
66	8	4.3%
96	8	4.3%
38	8	4.3%
63	7	3.7%
107	6	3.2%
61	6	3.2%
83	5	2.7%
60	5	2.7%
Other values (53)	117	62.2%

Value	Count	Frequency (%)
44	24	2.8%
61	23	2.7%
78	22	2.6%
34	20	2.3%
63	20	2.3%
96	20	2.3%
38	19	2.2%
66	15	1.7%
107	15	1.7%
83	14	1.6%
Other values (419)	670	77.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31	2	1.1%
32	4	2.1%
34	5	2.7%
35	1	0.5%
36	2	1.1%
37	2	1.1%
38	8	4.3%
39	1	0.5%
40	4	2.1%
41	2	1.1%

Value	Count	Frequency (%)
30.52367924	1	0.1%
30.86781174	1	0.1%
31	6	0.7%
31.14408893	1	0.1%
31.36784489	1	0.1%
31.67650766	1	0.1%
32	9	1.0%
32.05845064	1	0.1%
32.19108401	1	0.1%
32.23742243	1	0.1%

Value	Count	Frequency (%)
30.52367924	1	0.5%
30.86781174	1	0.5%
31	6	3.2%
31.14408893	1	0.5%
31.36784489	1	0.5%
31.67650766	1	0.5%
32	9	4.8%
32.05845064	1	0.5%
32.19108401	1	0.5%
32.23742243	1	0.5%

Value	Count	Frequency (%)
31	2	0.2%
32	4	0.5%
34	5	0.6%
35	1	0.1%
36	2	0.2%
37	2	0.2%
38	8	0.9%
39	1	0.1%
40	4	0.5%
41	2	0.2%

velocity
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	73	443
Distinct (%)	38.8%	51.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.462428	10.684389

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.667
Maximum	15.517241	15.517241
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.667
5-th percentile	6.818	6.977
Q1	8.27675	8.411215
median	9.945	10.227
Q3	12.9035	13.160968
95-th percentile	14.9139	14.949306
Maximum	15.517241	15.517241
Range	8.8502414	8.8502414
Interquartile range (IQR)	4.62675	4.7497527

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	2.6390637	2.5732038
Coefficient of variation (CV)	0.25224199	0.24083772
Kurtosis	-1.181831	-1.2321693
Mean	10.462428	10.684389
Median Absolute Deviation (MAD)	2.05	2.119
Skewness	0.32023116	0.26341828
Sum	1966.9365	9209.9432
Variance	6.9646573	6.621378
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.375	12	6.4%
6.818	9	4.8%
11.538	9	4.8%
13.636	6	3.2%
7.895	6	3.2%
14.754	6	3.2%
10.843	5	2.7%
15	5	2.7%
8.411214953	5	2.7%
10.345	5	2.7%
Other values (63)	120	63.8%

Value	Count	Frequency (%)
9.375	29	3.4%
6.818	24	2.8%
14.754	23	2.7%
11.538	22	2.6%
10.345	14	1.6%
7.895	14	1.6%
10.843	14	1.6%
15	13	1.5%
9.677	12	1.4%
7.5	12	1.4%
Other values (433)	685	79.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.667	4	2.1%
6.818	9	4.8%
6.923	2	1.1%
6.976744186	1	0.5%
6.977	2	1.1%
7.142857143	1	0.5%
7.143	2	1.1%
7.317	1	0.5%
7.317073171	1	0.5%
7.5	4	2.1%

Value	Count	Frequency (%)
6.667	6	0.7%
6.818	24	2.8%
6.879096645	1	0.1%
6.888021761	1	0.1%
6.892881424	1	0.1%
6.894332156	1	0.1%
6.923	5	0.6%
6.943469374	1	0.1%
6.948522364	1	0.1%
6.976744186	2	0.2%

Value	Count	Frequency (%)
6.667	6	3.2%
6.818	24	12.8%
6.879096645	1	0.5%
6.888021761	1	0.5%
6.892881424	1	0.5%
6.894332156	1	0.5%
6.923	5	2.7%
6.943469374	1	0.5%
6.948522364	1	0.5%
6.976744186	2	1.1%

Value	Count	Frequency (%)
6.667	4	0.5%
6.818	9	1.0%
6.923	2	0.2%
6.976744186	1	0.1%
6.977	2	0.2%
7.142857143	1	0.1%
7.143	2	0.2%
7.317	1	0.1%
7.317073171	1	0.1%
7.5	4	0.5%

ink_visco_cp
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	180
Distinct (%)	1.1%	20.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

6.9	140
6.3	48

6.9	512
6.3	172
6.888283511341732	1
6.900157990948587	1
6.917195772304838	1
Other values (175)	175

Length

	Original Dataset	Oversampled Dataset
Max length	3	18
Median length	3	3
Mean length	3	5.9048724
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	5090
Distinct characters	4	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	178 ?
Unique (%)	0.0%	20.6%

Sample

	Original Dataset	Oversampled Dataset
1st row	6.3	6.9
2nd row	6.3	6.899449847960728
3rd row	6.3	6.9138527799555165
4th row	6.3	6.9
5th row	6.3	6.9016898192137734

Common Values

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	512	59.4%
6.3	172	20.0%
6.888283511341732	1	0.1%
6.900157990948587	1	0.1%
6.917195772304838	1	0.1%
6.9129177749082205	1	0.1%
6.9002884490082534	1	0.1%
6.909649130915563	1	0.1%
6.907051779135069	1	0.1%
6.915000355459548	1	0.1%
Other values (170)	170	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	512	59.4%
6.3	172	20.0%
6.477601110555395	1	0.1%
6.905146894451139	1	0.1%
6.300508926384501	1	0.1%
6.89313303437789	1	0.1%
6.9138527799555165	1	0.1%
6.9016898192137734	1	0.1%
6.905067810928166	1	0.1%
6.90827764879783	1	0.1%
Other values (170)	170	19.7%

Most occurring characters

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1107	21.7%
.	862	16.9%
9	835	16.4%
3	427	8.4%
8	298	5.9%
0	280	5.5%
7	278	5.5%
2	262	5.1%
5	255	5.0%
1	253	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	376	66.7%
Other Punctuation	188	33.3%

Value	Count	Frequency (%)
Decimal Number	4228	83.1%
Other Punctuation	862	16.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	188	50.0%
9	140	37.2%
3	48	12.8%

Value	Count	Frequency (%)
6	1107	26.2%
9	835	19.7%
3	427	10.1%
8	298	7.0%
0	280	6.6%
7	278	6.6%
2	262	6.2%
5	255	6.0%
1	253	6.0%
4	233	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	5090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1107	21.7%
.	862	16.9%
9	835	16.4%
3	427	8.4%
8	298	5.9%
0	280	5.5%
7	278	5.5%
2	262	5.1%
5	255	5.0%
1	253	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	5090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1107	21.7%
.	862	16.9%
9	835	16.4%
3	427	8.4%
8	298	5.9%
0	280	5.5%
7	278	5.5%
2	262	5.1%
5	255	5.0%
1	253	5.0%

surface_tension_dyne_cm
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	180
Distinct (%)	1.1%	20.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

32.3	140
30.9	48

32.3	512
30.9	172
32.289824193742916	1
32.33416428461478	1
32.337839862836155	1
Other values (175)	175

Length

	Original Dataset	Oversampled Dataset
Max length	4	18
Median length	4	4
Mean length	4	6.7610209
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	5828
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	178 ?
Unique (%)	0.0%	20.6%

Sample

	Original Dataset	Oversampled Dataset
1st row	30.9	32.3
2nd row	30.9	32.35037257232981
3rd row	30.9	32.27699215621301
4th row	30.9	32.3
5th row	30.9	32.242592083460096

Common Values

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	512	59.4%
30.9	172	20.0%
32.289824193742916	1	0.1%
32.33416428461478	1	0.1%
32.337839862836155	1	0.1%
32.315835398216684	1	0.1%
32.32454375656937	1	0.1%
32.253186474102655	1	0.1%
32.34299183201621	1	0.1%
32.344197808220876	1	0.1%
Other values (170)	170	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	512	59.4%
30.9	172	20.0%
31.31440259129592	1	0.1%
32.24935892512628	1	0.1%
30.939252092383672	1	0.1%
32.286937795210164	1	0.1%
32.27699215621301	1	0.1%
32.242592083460096	1	0.1%
32.36271639218698	1	0.1%
32.28922226040807	1	0.1%
Other values (170)	170	19.7%

Most occurring characters

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1683	28.9%
2	923	15.8%
.	862	14.8%
0	448	7.7%
9	445	7.6%
8	259	4.4%
6	257	4.4%
4	256	4.4%
7	236	4.0%
5	231	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	75.0%
Other Punctuation	188	25.0%

Value	Count	Frequency (%)
Decimal Number	4966	85.2%
Other Punctuation	862	14.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	328	58.2%
2	140	24.8%
0	48	8.5%
9	48	8.5%

Value	Count	Frequency (%)
3	1683	33.9%
2	923	18.6%
0	448	9.0%
9	445	9.0%
8	259	5.2%
6	257	5.2%
4	256	5.2%
7	236	4.8%
5	231	4.7%
1	228	4.6%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	5828	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1683	28.9%
2	923	15.8%
.	862	14.8%
0	448	7.7%
9	445	7.6%
8	259	4.4%
6	257	4.4%
4	256	4.4%
7	236	4.0%
5	231	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	5828	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1683	28.9%
2	923	15.8%
.	862	14.8%
0	448	7.7%
9	445	7.6%
8	259	4.4%
6	257	4.4%
4	256	4.4%
7	236	4.0%
5	231	4.0%

ink _density
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	48
Distinct (%)	1.1%	5.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

1614	140
1517	48

1614	530
1517	179
1613	15
1612	14
1611	10
Other values (43)	114

Length

	Original Dataset	Oversampled Dataset
Max length	4	4
Median length	4	4
Mean length	4	4
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	3448
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	26 ?
Unique (%)	0.0%	3.0%

Sample

	Original Dataset	Oversampled Dataset
1st row	1517	1614
2nd row	1517	1616
3rd row	1517	1617
4th row	1517	1614
5th row	1517	1612

Common Values

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	530	61.5%
1517	179	20.8%
1613	15	1.7%
1612	14	1.6%
1611	10	1.2%
1617	9	1.0%
1512	8	0.9%
1615	8	0.9%
1516	8	0.9%
1610	8	0.9%
Other values (38)	73	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	530	61.5%
1517	179	20.8%
1613	15	1.7%
1612	14	1.6%
1611	10	1.2%
1617	9	1.0%
1516	8	0.9%
1610	8	0.9%
1615	8	0.9%
1512	8	0.9%
Other values (38)	73	8.5%

Most occurring characters

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1700	49.3%
6	636	18.4%
4	541	15.7%
5	268	7.8%
7	192	5.6%
2	43	1.2%
0	23	0.7%
3	21	0.6%
9	16	0.5%
8	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	752	100.0%

Value	Count	Frequency (%)
Decimal Number	3448	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1700	49.3%
6	636	18.4%
4	541	15.7%
5	268	7.8%
7	192	5.6%
2	43	1.2%
0	23	0.7%
3	21	0.6%
9	16	0.5%
8	8	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	3448	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1700	49.3%
6	636	18.4%
4	541	15.7%
5	268	7.8%
7	192	5.6%
2	43	1.2%
0	23	0.7%
3	21	0.6%
9	16	0.5%
8	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	3448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1700	49.3%
6	636	18.4%
4	541	15.7%
5	268	7.8%
7	192	5.6%
2	43	1.2%
0	23	0.7%
3	21	0.6%
9	16	0.5%
8	8	0.2%

line_width
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	100	176
Distinct (%)	53.2%	20.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	229.3617	258.83991

	Original Dataset	Oversampled Dataset
Minimum	112	112
Maximum	391	492
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	112	112
5-th percentile	179	183
Q1	194	209.25
median	222.5	254
Q3	260	296
95-th percentile	305.65	391
Maximum	391	492
Range	279	380
Interquartile range (IQR)	66	86.75

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	43.833631	63.555639
Coefficient of variation (CV)	0.19111138	0.24554034
Kurtosis	0.33187771	1.8029008
Mean	229.3617	258.83991
Median Absolute Deviation (MAD)	31.5	44
Skewness	0.57550192	1.086224
Sum	43120	223120
Variance	1921.3872	4039.3193
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
191	5	2.7%
194	4	2.1%
183	4	2.1%
193	4	2.1%
224	4	2.1%
203	4	2.1%
232	4	2.1%
204	4	2.1%
207	4	2.1%
185	4	2.1%
Other values (90)	147	78.2%

Value	Count	Frequency (%)
232	14	1.6%
321	14	1.6%
305	14	1.6%
194	13	1.5%
218	13	1.5%
226	12	1.4%
294	11	1.3%
206	11	1.3%
288	11	1.3%
224	11	1.3%
Other values (166)	738	85.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
112	1	0.5%
123	1	0.5%
142	1	0.5%
163	1	0.5%
167	1	0.5%
176	1	0.5%
177	1	0.5%
178	1	0.5%
179	3	1.6%
180	2	1.1%

Value	Count	Frequency (%)
112	3	0.3%
123	3	0.3%
142	3	0.3%
163	2	0.2%
167	2	0.2%
176	3	0.3%
177	2	0.2%
178	3	0.3%
179	7	0.8%
180	5	0.6%

Value	Count	Frequency (%)
112	3	1.6%
123	3	1.6%
142	3	1.6%
163	2	1.1%
167	2	1.1%
176	3	1.6%
177	2	1.1%
178	3	1.6%
179	7	3.7%
180	5	2.7%

Value	Count	Frequency (%)
112	1	0.1%
123	1	0.1%
142	1	0.1%
163	1	0.1%
167	1	0.1%
176	1	0.1%
177	1	0.1%
178	1	0.1%
179	3	0.3%
180	2	0.2%

overspray
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	119	260
Distinct (%)	63.3%	30.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	104.83511	137.48144

	Original Dataset	Oversampled Dataset
Minimum	0	0
Maximum	415	419
Zeros	8	20
Zeros (%)	4.3%	2.3%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	0	0
5-th percentile	1	3
Q1	16	32
median	59	98.5
Q3	169	240.75
95-th percentile	341.6	368
Maximum	415	419
Range	415	419
Interquartile range (IQR)	153	208.75

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	110.08344	120.90878
Coefficient of variation (CV)	1.0500627	0.8794553
Kurtosis	0.28180928	-0.86166332
Mean	104.83511	137.48144
Median Absolute Deviation (MAD)	49	85.5
Skewness	1.1385965	0.64165618
Sum	19709	118509
Variance	12118.363	14618.933
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8	4.3%
10	5	2.7%
91	5	2.7%
3	5	2.7%
7	4	2.1%
47	4	2.1%
32	4	2.1%
220	4	2.1%
24	3	1.6%
5	3	1.6%
Other values (109)	143	76.1%

Value	Count	Frequency (%)
0	20	2.3%
47	15	1.7%
32	14	1.6%
3	13	1.5%
10	13	1.5%
11	12	1.4%
15	11	1.3%
91	11	1.3%
201	11	1.3%
24	10	1.2%
Other values (250)	732	84.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	4.3%
1	3	1.6%
2	3	1.6%
3	5	2.7%
4	1	0.5%
5	3	1.6%
6	1	0.5%
7	4	2.1%
8	2	1.1%
9	1	0.5%

Value	Count	Frequency (%)
0	20	2.3%
1	7	0.8%
2	8	0.9%
3	13	1.5%
4	3	0.3%
5	5	0.6%
6	7	0.8%
7	10	1.2%
8	7	0.8%
9	3	0.3%

Value	Count	Frequency (%)
0	20	10.6%
1	7	3.7%
2	8	4.3%
3	13	6.9%
4	3	1.6%
5	5	2.7%
6	7	3.7%
7	10	5.3%
8	7	3.7%
9	3	1.6%

Value	Count	Frequency (%)
0	8	0.9%
1	3	0.3%
2	3	0.3%
3	5	0.6%
4	1	0.1%
5	3	0.3%
6	1	0.1%
7	4	0.5%
8	2	0.2%
9	1	0.1%

roughness
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	94	132
Distinct (%)	50.0%	15.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	98.037234	113.33991

	Original Dataset	Oversampled Dataset
Minimum	43	43
Maximum	192	228
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	43	43
5-th percentile	58.35	63
Q1	75	82.25
median	91	112
Q3	117.25	143
95-th percentile	152.65	165
Maximum	192	228
Range	149	185
Interquartile range (IQR)	42.25	60.75

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	30.766043	35.832806
Coefficient of variation (CV)	0.31381998	0.31615348
Kurtosis	0.11304357	-0.6006769
Mean	98.037234	113.33991
Median Absolute Deviation (MAD)	19	30.5
Skewness	0.73342434	0.24952404
Sum	18431	97699
Variance	946.54941	1283.99
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	8	4.3%
68	8	4.3%
73	6	3.2%
99	6	3.2%
84	6	3.2%
75	5	2.7%
85	5	2.7%
108	5	2.7%
72	5	2.7%
117	4	2.1%
Other values (84)	130	69.1%

Value	Count	Frequency (%)
77	22	2.6%
68	21	2.4%
84	20	2.3%
99	19	2.2%
85	18	2.1%
144	17	2.0%
108	17	2.0%
72	17	2.0%
75	15	1.7%
95	15	1.7%
Other values (122)	681	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43	1	0.5%
44	1	0.5%
45	1	0.5%
48	2	1.1%
49	2	1.1%
54	1	0.5%
57	1	0.5%
58	1	0.5%
59	1	0.5%
60	1	0.5%

Value	Count	Frequency (%)
43	3	0.3%
44	3	0.3%
45	2	0.2%
46	1	0.1%
47	1	0.1%
48	6	0.7%
49	5	0.6%
54	4	0.5%
57	4	0.5%
58	2	0.2%

Value	Count	Frequency (%)
43	3	1.6%
44	3	1.6%
45	2	1.1%
46	1	0.5%
47	1	0.5%
48	6	3.2%
49	5	2.7%
54	4	2.1%
57	4	2.1%
58	2	1.1%

Value	Count	Frequency (%)
43	1	0.1%
44	1	0.1%
45	1	0.1%
48	2	0.2%
49	2	0.2%
54	1	0.1%
57	1	0.1%
58	1	0.1%
59	1	0.1%
60	1	0.1%

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Auto

Heatmap
Table

	time	velocity	line_width	overspray	roughness	distance	ink_visco_cp	surface_tension_dyne_cm	ink _density
time	1.000	0.023	-0.042	-0.067	-0.122	0.687	0.275	0.275	0.275
velocity	0.023	1.000	0.300	0.062	0.136	0.482	0.278	0.278	0.278
line_width	-0.042	0.300	1.000	0.290	0.619	0.000	0.000	0.000	0.000
overspray	-0.067	0.062	0.290	1.000	0.229	0.000	0.198	0.198	0.198
roughness	-0.122	0.136	0.619	0.229	1.000	0.202	0.271	0.271	0.271
distance	0.687	0.482	0.000	0.000	0.202	1.000	0.151	0.151	0.151
ink_visco_cp	0.275	0.278	0.000	0.198	0.271	0.151	1.000	0.986	0.986
surface_tension_dyne_cm	0.275	0.278	0.000	0.198	0.271	0.151	0.986	1.000	0.986
ink _density	0.275	0.278	0.000	0.198	0.271	0.151	0.986	0.986	1.000

Count
Matrix

Original Dataset

A simple visualization of nullity by column.

Oversampled Dataset

A simple visualization of nullity by column.

Original Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Oversampled Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	270	34.0	7.941	6.3	30.9	1517	294	12	164
1	270	34.0	7.941	6.3	30.9	1517	261	136	141
2	300	38.0	7.895	6.3	30.9	1517	218	11	103
3	300	44.0	6.818	6.3	30.9	1517	190	15	68
4	300	41.0	7.317	6.3	30.9	1517	190	91	90
5	300	40.0	7.500	6.9	32.3	1614	180	0	62
6	300	38.0	7.895	6.9	32.3	1614	178	80	82
7	300	43.0	6.977	6.3	30.9	1517	185	24	145
8	300	43.0	6.977	6.3	30.9	1517	213	50	161
9	300	34.0	8.824	6.3	30.9	1517	323	8	171

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	900	69.674983	13.377553	6.900000	32.300000	1614	434	106	120
1	887	62.740540	14.244870	6.899450	32.350373	1616	288	99	118
2	867	62.365633	14.324269	6.913853	32.276992	1617	287	98	116
3	900	75.142476	12.420341	6.900000	32.300000	1614	431	88	118
4	887	64.431693	14.311584	6.901690	32.242592	1612	286	113	119
5	887	93.943313	9.565537	6.905068	32.362716	1617	287	109	85
6	921	95.579310	9.513539	6.908278	32.289222	1612	286	102	82
7	916	92.329031	9.678576	6.914665	32.312416	1616	285	109	84
8	901	93.887978	9.616980	6.950758	32.294846	1613	291	115	85
9	908	94.639558	9.353011	6.905147	32.249359	1619	287	102	84

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
178	900	108.0	8.333333	6.9	32.3	1614	212	282	72
179	900	93.0	9.677419	6.9	32.3	1614	323	47	157
180	900	93.0	9.677419	6.9	32.3	1614	305	201	108
181	900	94.0	9.574468	6.9	32.3	1614	288	107	85
182	900	95.0	9.473684	6.9	32.3	1614	290	24	115
183	900	96.0	9.375000	6.9	32.3	1614	262	17	94
184	900	96.0	9.375000	6.9	32.3	1614	241	15	86
185	900	96.0	9.375000	6.9	32.3	1614	191	77	87
186	900	108.0	8.333333	6.9	32.3	1614	188	1	73
187	900	107.0	8.411215	6.9	32.3	1614	203	5	45

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
175	900	107.0	8.411215	6.9	32.3	1614	194	72	76
177	900	108.0	8.333333	6.9	32.3	1614	191	81	99
178	900	108.0	8.333333	6.9	32.3	1614	212	282	72
179	900	93.0	9.677419	6.9	32.3	1614	323	47	157
180	900	93.0	9.677419	6.9	32.3	1614	305	201	108
181	900	94.0	9.574468	6.9	32.3	1614	288	107	85
182	900	95.0	9.473684	6.9	32.3	1614	290	24	115
183	900	96.0	9.375000	6.9	32.3	1614	262	17	94
184	900	96.0	9.375000	6.9	32.3	1614	241	15	86
186	900	108.0	8.333333	6.9	32.3	1614	188	1	73

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
Dataset does not contain duplicate rows.

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
0	270	34.0	7.941	6.3	30.9	1517	261	136	141	3
1	270	34.0	7.941	6.3	30.9	1517	294	12	164	3
2	300	31.0	9.677	6.3	30.9	1517	218	187	117	3
3	300	31.0	9.677	6.3	30.9	1517	267	80	139	3
4	300	32.0	9.375	6.3	30.9	1517	306	102	145	3
8	300	34.0	8.824	6.3	30.9	1517	226	27	95	3
9	300	34.0	8.824	6.3	30.9	1517	323	8	171	3
10	300	34.0	8.824	6.9	32.3	1614	219	213	185	3
12	300	36.0	8.333	6.9	32.3	1614	142	27	76	3
14	300	37.0	8.108	6.9	32.3	1614	274	283	149	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset